No matter the size, the goal of every organization should be a move towards intelligent automation. While basic intelligent automation involves automating repetitive, defined tasks happening at scale in your organization, advanced intelligent automation brings in tools such as advanced machine learning, artificial intelligence, and conversational UX to dramatically expand the available use cases.
Companies embrace intelligent automation work to identify opportunities, scale their capabilities and programs, and develop centers of excellence. To level up your intelligent automation program, you must focus on four key strategies:
- Gaining an understanding of how new automation technologies work
- Knowing where automation will support your business strategy
- Properly implementing automation tools and processes
- Using the correct automation platforms to transform your business
Let’s break these down one by one:
How New Automation Technologies Work
At the core of most intelligent automation programs, there is a robotic process automation (RPA) platform. Intelligent automation programs involve developing or customizing automations to streamline time-consuming, error-prone, and repetitive workflows, thus freeing employees to focus on higher-value work for the organization. Examples of business processes ripe for automation include timesheets, expense claims, employee onboarding and offboarding, payroll, employee training, and more.
RPA technologies can do more than ever before including integrating with Natural Language Processing (NLP), Machine Learning (ML), and Optical Character Recognition (OCR) to understand more data sources, perform tasks and capture the sentiment in human language. To make all these software technologies work, teams or providers must integrate the automation platforms into and run automation software on your organization’s current infrastructure, whether on-premises, cloud, hybrid cloud, or software-defined.
How Automation Fits with Your Business Strategy
To build and evolve your intelligent automation program, your organization needs to identify new automation opportunities continuously. These new automations should meet business goals: to eliminate low-value tasks to make room for people to perform high-value work, improve your employees’ work/life balance, and increase customer satisfaction.
Selecting and prioritizing the processes to automate can be done by speaking with your team or leveraging an AI-enabled process discovery tool capable of capturing what people are actually doing on their computers and generating related visualization. In comparison, process mining tools may be used to visualize logs generated by systems as they do not directly capture usage information from the desktop.
The employees most involved in contact centers, shared service centers and back-office processes often perform repetitive tasks in their typical workday. If you’re just getting started, these “boots-on-the-ground” would have the best ideas of where the opportunities are for automation and can be incentivized to come up with new ideas for automations.
Multiple Automation Platforms
Leveling up your automation program may mean deploying more than one RPA platform, an approach referred to as a dual platform. Typically, an initial platform was selected based on it being the best fit for the known needs. However, as time has passed, advances and specializations in the platforms may make it easier to automate certain types of business processes on a different platform. For example, by running dual platforms like Blue Prism and UiPath together, your organization can take better advantage of prebuilt solutions and no-code automations that can be customized to meet your specific workflow requirements. Rather than use a less efficient tool, often the second platform is added to maximize the value available to the organization.
Also, as it is very hard to justify migrating automations to the new platform when your resources could otherwise be adding new valuable automations, the original platform is retained until the automations on it reach end-of-life.
The Right Stuff for Automation
For your automation program to succeed and grow, your organization needs the right talent pool for successful implementation and expansion. The people who oversee automation processes require a specialized tech skillset that includes many programs and processes already mentioned, such as NLP, OCR, AI/ML, and high proficiency in software coding.
Members of your current team may have these skills, but if not, it’s essential to recognize that outside help may be needed to fill gaps and help you go faster. Lacking in-house skills for intelligent automation shouldn’t be a reason for holding your organization back from building your automation platforms and achieving digital transformation.
Finding a Partner in Automation
Look at a firm’s case studies. You want to see proof of the results, amount of experience, and approach to the engagements.
By partnering with WonderBotz, your automation development and implementation are managed by a respected partner with relationships with leading automation and platform companies around the globe. WonderBotz leverages our relationships with Blue Prism, UiPath and Automation Anywhere, as well as AWS and Azure for cloud infrastructure and analytics platforms, to fully execute your intelligent automation and transformation plans.
Our prebuilt solutions make it easy to level up your automation program without the need for programming expertise. Our clients span every stage of automation adoption, from automation beginners to veterans. Our assemble-to-order approach also enables us to build better and more valuable automations for our trusted clients.